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awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)
https://github.com/Yochengliu/awesome-point-cloud-analysis

Last synced: 5 days ago
JSON representation

  • 2021

  • 2018

    • [CVPR
    • [IROS
    • [CVPR - scale Point Cloud Semantic Segmentation with Superpoint Graphs. [[pytorch](https://github.com/loicland/superpoint_graph)] [__`seg.`__] :fire:
    • [CVPR - to-End Learning for Point Cloud Based 3D Object Detection. [[tensorflow](https://github.com/tsinghua-rll/VoxelNet-tensorflow)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR - Pointnet)] [__`pos.`__]
    • [CVPR - Scale Place Recognition. [[tensorflow](https://github.com/mikacuy/pointnetvlad.git)] [__`rel.`__] :fire:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - encoder via Deep Grid Deformation. [[code](http://www.merl.com/research/license#FoldingNet)] [__`cls.`__]
    • [CVPR
    • [CVPR - Net: Point Cloud Upsampling Network. [[tensorflow](https://github.com/yulequan/PU-Net)] [__`rec.`__ __`oth.`__] :fire:
    • [CVPR - Net: Self-Organizing Network for Point Cloud Analysis. [[pytorch](https://github.com/lijx10/SO-Net)] [__`cls.`__ __`seg.`__] :fire: :star:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - time 3D Object Detection from Point Clouds. [[pytorch](https://github.com/ankita-kalra/PIXOR)] [__`det.`__ __`aut.`__]
    • [CVPR
    • [CVPR - Scale 3D Point Clouds. [__`oth.`__]
    • [IROS
    • [CVPR - Agnostic Detection of Quadrics in Point Clouds. [__`seg.`__]
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - PointFusion)] [__`det.`__ __`aut.`__]
    • [CVPR - D Data. [[tensorflow](https://github.com/charlesq34/frustum-pointnets)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR
    • [ECCV
    • [ECCV - Net: an Edge-aware Point set Consolidation Network. [[tensorflow](https://github.com/yulequan/EC-Net)] [__`oth.`__]
    • [ECCV
    • [ECCV - View Descriptors for Registration of Point Clouds. [__`reg.`__]
    • [ECCV - Net: Weakly Supervised Local 3D Features for Point Cloud Registration. [[tensorflow](https://github.com/yewzijian/3DFeatNet)] [__`reg.`__]
    • [ECCV
    • [ECCV
    • [ECCV
    • [ECCV
    • [ECCV - Convolutional Point Networks for Large-Scale Point Clouds. [[tensorflow](https://github.com/drethage/fully-convolutional-point-network)] [__`seg.`__ __`oth.`__]
    • [ECCV - Sensor 3D Object Detection. [__`det.`__]
    • [ECCV
    • [ECCV - to-Point Regression PointNet for 3D Hand Pose Estimation. [__`pos.`__]
    • [ECCV - FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. [__`oth.`__]
    • [ECCVW - d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues. [__`cls.`__ __`seg.`__]
    • [ECCVW - to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. [__`det.`__ __`aut.`__]
    • [AAAI - point-cloud-generation)] [__`rec.`__] :fire:
    • [AAAI
    • [NeurIPS - point-clouds)] [__`pos.`__]
    • [NeurIPS - Transformed Points. [[tensorflow](https://github.com/yangyanli/PointCNN)][[pytorch](https://github.com/hxdengBerkeley/PointCNN.Pytorch)] [__`cls.`__ __`seg.`__] :fire:
    • [ICML
    • [TOG
    • [SIGGRAPH - NET: Bidirectional Point Displacement Net for Shape Transform. [[tensorflow](https://github.com/kangxue/P2P-NET)] [__`oth.`__]
    • [SIGGRAPH Asia - Uniformly Sampled Point Clouds. [[tensorflow](https://github.com/viscom-ulm/MCCNN)] [__`cls.`__ __`seg.`__ __`oth.`__]
    • [SIGGRAPH - view convolutional networks. [[project](https://people.cs.umass.edu/~hbhuang/local_mvcnn/index.html)] [__`seg.`__ __`oth.`__]
    • [MM - View for 3D Shape Recognition. [__`cls.`__ __`rel.`__]
    • [MM
    • [MM - based Layered Structure and Block-based Intra Prediction. [__`oth.`__]
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS - Net)]3DmFV: Point Cloud Classification and segmentation for unstructured 3D point clouds. [__`cls.`__ ]
    • [IROS
    • [SENSORS
    • [ACCV - Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds). [[tensorflow](https://github.com/cgtuebingen/Flex-Convolution)] [__`seg.`__]
    • [3DV
    • [ICASSP - CNN for 3D Point Cloud Classification. [[tensorflow](https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification)] [__`cls.`__] :fire:
    • [ITSC
    • [arXiv - like Network Module for 3D Point Cloud Semantic Segmentation. [[tensorflow](https://github.com/MVIG-SJTU/pointSIFT)] [__`seg.`__] :fire:
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv - Aware Surface Reconstruction for Point Clouds. [__`rec.`__]
    • [arXiv
    • [arXiv
    • [arXiv - based Object Detector for Point Cloud. [__`det.`__]
    • [arXiv - controllable Point Cloud Simplification on Graph. [__`oth.`__]
    • [arXiv
    • [arXiv - YOLO: Real-time 3D Object Detection on Point Clouds. [[pytorch](https://github.com/AI-liu/Complex-YOLO)] [__`det.`__ __`aut.`__] :fire:
    • [arxiv
    • [arXiv - column Point-CNN for Sketch Segmentation. [__`seg.`__]
    • [arXiv - Attention. [[project](https://liuziwei7.github.io/projects/PointGrow)] [__`oth.`__]
    • [arXiv - Cloud-GAN)] [__`oth.`__]
    • [CVPR
    • [CVPR - Net: Self-Organizing Network for Point Cloud Analysis. [[pytorch](https://github.com/lijx10/SO-Net)] [__`cls.`__ __`seg.`__] :fire: :star:
    • [CVPR - Scale Place Recognition. [[tensorflow](https://github.com/mikacuy/pointnetvlad.git)] [__`rel.`__] :fire:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR
    • [ECCV - View Descriptors for Registration of Point Clouds. [__`reg.`__]
    • [ECCV - Net: Weakly Supervised Local 3D Features for Point Cloud Registration. [[tensorflow](https://github.com/yewzijian/3DFeatNet)] [__`reg.`__]
    • [ECCV
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time Road-Object Segmentation from 3D LiDAR Point Cloud. [[tensorflow](https://github.com/priyankanagaraj1494/Squeezseg)] [__`seg.`__ __`aut.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [ICRA
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [IROS
    • [ICRA - to-end Learning of Multi-sensor 3D Tracking by Detection. [__`det.`__ __`tra.`__ __`aut.`__]
    • [ICRA - View 3D Entangled Forest for Semantic Segmentation and Mapping. [__`seg.`__ __`oth.`__]
    • [ICRA - Time 3D Person Detection for Indoor and Outdoor Applications. [__`det.`__]
    • [ICRA - Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. [__`dep.`__ __`aut.`__]
    • [ICRA - Point Network for Classification of Deformed Building Element Point Clouds. [__`cls.`__]
    • [ICRA - Guided Geometry Extraction from Point Clouds. [__`oth.`__]
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA - Based Exploration for Autonomous 3D Modeling. [__`oth.`__ __`aut.`__]
    • [ICRA - Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning. [__`oth.`__]
    • [ICRA - Time Object Tracking in Sparse Point Clouds Based on 3D Interpolation. [__`tra.`__]
    • [ICRA
    • [ICRA - Cue Photometric Point Cloud Registration. [__`reg.`__]
    • [ICRA - Time SLAM for 3D Lidar-Based Online Mapping. [__`oth.`__]
    • [ICRA - LiDAR System. [__`oth.`__]
    • [ICRA
    • [ICRA - Sensor Fusion for 3D Mapping and Localization. [__`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Photogrammetry with Random Patterns. [__`rec.`__ __`oth.`__]
    • [IROS
    • [IROS
    • [IROS - Environment 3D LiDAR Localization. [__`oth.`__]
    • [IROS
    • [IROS - LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.[[code](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)] [__`pos.`__ __`oth.`__] :fire:
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS - Cost RGB-D Sensor. [[code](https://github.com/CTTCGeoLab/VI_ROS)][__`oth.`__]
    • [IROS - Time Amodal 3D Object Detection. [__`det.`__ __`pos.`__]
    • [IROS
    • [IROS
    • [IROS
    • [TOG
    • [ITSC

  • 2017

    • [CVPR
    • [CVPR - Conditioned Filters in Convolutional Neural Networks on Graphs. [__`cls.`__] :star:
    • [CVPR
    • [CVPR - annotated 3D Reconstructions of Indoor Scenes. [[project](http://www.scan-net.org/)][[git](http://www.scan-net.org/)] [__`dat.`__ __`cls.`__ __`rel.`__ __`seg.`__ __`oth.`__] :fire: :star:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - Encoder. [[git](https://github.com/gilbaz/LORAX)] [__`reg.`__]
    • [CVPR - View 3D Object Detection Network for Autonomous Driving. [[tensorflow](https://github.com/bostondiditeam/MV3D)] [__`det.`__ __`aut.`__] :fire: :star:
    • [CVPR - D Reconstructions. [[code](https://github.com/andyzeng/3dmatch-toolbox)] [__`dat.`__ __`pos.`__ __`reg.`__ __`rec.`__ __`oth.`__] :fire: :star:
    • [CVPR
    • [ICCV - Networks for the Recognition of 3D Point Cloud Models. [[pytorch](https://github.com/fxia22/kdnet.pytorch)] [__`cls.`__ __`rel.`__ __`seg.`__] :star:
    • [ICCV - DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. [[code](https://github.com/CKchaos/scn2pointcloud_tool)] [__`seg.`__]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [NeurIPS
    • [NeurIPS
    • [ICRA
    • [ICRA
    • [ICRA
    • [ICRA
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [IROS
    • [3DV
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [CVPR
    • [CVPR - D Reconstructions. [[code](https://github.com/andyzeng/3dmatch-toolbox)] [__`dat.`__ __`pos.`__ __`reg.`__ __`rec.`__ __`oth.`__] :fire: :star:
    • [ICCV - Networks for the Recognition of 3D Point Cloud Models. [[pytorch](https://github.com/fxia22/kdnet.pytorch)] [__`cls.`__ __`rel.`__ __`seg.`__] :star:
    • [ICCV
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]
    • [TPAMI - aware Data Consolidation. [__`oth.`__]

  • 2019

    • [CVPR - Shape Convolutional Neural Network for Point Cloud Analysis. [[pytorch](https://github.com/Yochengliu/Relation-Shape-CNN)] [__`cls.`__ __`seg.`__ __`oth.`__] :fire:
    • [CVPR
    • [CVPR
    • [CVPR - LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. [[code](https://github.com/mileyan/pseudo_lidar)] [__`det.`__ __`dep.`__ __`aut.`__]
    • [CVPR
    • [CVPR - adv-pc)] [__`oth.`__]
    • [CVPR - Attention and Gumbel Subset Sampling. [__`cls.`__ __`seg.`__]
    • [CVPR - CNN: Annularly Convolutional Neural Networks on Point Clouds. [[tensorflow](https://github.com/artemkomarichev/a-cnn)][__`cls.`__ __`seg.`__]
    • [CVPR
    • [CVPR - Invariant Map Networks. [[tensorflow](https://github.com/zaiweizhang/path_invariance_map_network)] [__`seg.`__ __`oth.`__]
    • [CVPR - scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding. [[code](https://github.com/daerduoCarey/partnet_dataset)] [__`dat.`__ __`seg.`__]
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - ziyan/SPH3D-GCN)] [__`cls.`__ __`seg.`__]
    • [CVPR
    • [CVPR - Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. [[pytorch](https://github.com/pqhieu/JSIS3D)] [__`seg.`__]
    • [CVPR - Structured Deep Metric Learning. [__`seg.`__]
    • [CVPR
    • [CVPR - based Progressive 3D Point Set Upsampling. [[tensorflow](https://github.com/yifita/3PU)] [__`oth.`__]
    • [CVPR
    • [CVPR - grained and Hierarchical Shape Segmentation. [[pytorch](https://github.com/FoggYu/PartNet)] [__`dat.`__ __`seg.`__]
    • [CVPR
    • [CVPR - Based Randomized Approach for Robust Point Cloud Registration without Correspondences. [[matlab](https://github.com/intellhave/SDRSAC)] [__`reg.`__]
    • [CVPR - guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image. [__`rec.`__ __`oth.`__]
    • [CVPR
    • [CVPR - Capsule Networks. [[pytorch](https://github.com/yongheng1991/3D-point-capsule-networks)] [__`cls.`__ __`rec.`__ __`oth.`__]
    • [CVPR - Temporal ConvNets: Minkowski Convolutional Neural Networks. [[pytorch](https://github.com/StanfordVL/MinkowskiEngine)] [__`seg.`__] :fire:
    • [CVPR
    • [CVPR - Set Registration using Gaussian Filter and Twist Parameterization. [[code](https://bitbucket.org/gaowei19951004/poser/src/master/)] [__`reg.`__]
    • [CVPR
    • [CVPR - CNN. [__`cls.`__ __`det.`__]
    • [CVPR - Invariant Representation for Point Cloud Analysis. [__`cls.`__]
    • [CVPR
    • [CVPR - GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. [[code](https://github.com/iSarmad/RL-GAN-Net)] [__`oth.`__]
    • [CVPR - Scale Outdoor Scenes. [[code](https://github.com/ziquan111/RobustPCLReconstruction)] [__`rec.`__]
    • [CVPR - Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks. [[tensorflow](https://github.com/sitzikbs/Nesti-Net)] [__`oth.`__]
    • [CVPR
    • [CVPR
    • [CVPR - to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer. [__`pos.`__]
    • [CVPR
    • [CVPR - 3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks. [[project](https://sites.google.com/view/lp-3dcnn/home)] [__`cls.`__ __`seg.`__]
    • [CVPR
    • [CVPR
    • [CVPR - Based Localization. [__`pos.`__ __`oth.`__]
    • [CVPR
    • [CVPR
    • [CVPRW - Object Detection in Point Clouds. [[pytorch](https://github.com/anshulpaigwar/Attentional-PointNet)] [__`cls.`__ __`det.`__ __`aut.`__]
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - scale Point Clouds. [[pytorch](https://github.com/laoreja/HPLFlowNet)] [__`oth.`__]
    • [ICCV
    • [ICCV
    • [ICCV - GAN: a Point Cloud Upsampling Adversarial Network. [[tensorflow](https://github.com/liruihui/PU-GAN)] [__`oth.`__]
    • [ICCV
    • [ICCV
    • [ICCV - Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. [__`oth.`__]
    • [ICCV - HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning. [[code](https://github.com/TerenceCYJ/SO-HandNet)] [__`pos.`__]
    • [ICCV - Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. [__`oth.`__]
    • [ICCV - World Data. [__`cls.`__ __`dat.`__] [[code](https://github.com/hkust-vgd/scanobjectnn)] [[dataset](https://hkust-vgd.github.io/scanobjectnn/)]
    • [ICCV
    • [ICCV - vgd.github.io/shellnet/)] [__`seg.`__]
    • [ICCV - Based Multi-View Stereo Network. [[pytorch](https://github.com/callmeray/PointMVSNet)] [__`rec.`__]
    • [ICCV
    • [ICCV - to-End Deep Neural Network for 3D Point Cloud Registration. [__`reg.`__]
    • [ICCV
    • [ICCV - Edge Interaction Network for Point Cloud Semantic Segmentation. [__`seg.`__]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV - Saliency-Maps)] [__`oth.`__]
    • [ICCV - to-Dense 3D Object Detector for Point Cloud. [__`det.`__ __`oth.`__]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV - encoder for 3D Statistical Shape and Texture Modelling. [__`rec.`__]
    • [ICCV - Aware 3D Human Shape Reconstruction From Point Clouds. [__`rec.`__]
    • [ICCV
    • [ICCV - Task Feature Learning on Point Clouds. [__`cls.`__ __`seg.`__]
    • [ICCV - NET: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation. [[tensorflow](https://github.com/xianyuMeng/VV-Net-Voxel-VAE-Net-with-Group-Convolutions-for-Point-Cloud-Segmentation)] [__`seg.`__]
    • [ICCV - Convolution for Point Cloud Deformation in 2D-to-3D Conversion. [[pytorch](https://github.com/justanhduc/graphx-conv)] [__`rec.`__]
    • [ICCV
    • [ICCV - CNN. [__`det.`__ __`aut.`__]
    • [ICCV
    • [ICCV
    • [ICCV - Task Metric Learning. [[code](https://sites.google.com/view/3d-instance-mtml)] [__`seg.`__]
    • [ICCV
    • [ICCVW
    • [NeurIPS - Supervised Deep Learning on Point Clouds by Reconstructing Space. [__`cls.`__ __`oth.`__]
    • [NeurIPS
    • [NeurIPS - Voxel CNN for Efficient 3D Deep Learning. [__`det.`__ __`seg.`__ __`aut.`__]
    • [NeurIPS - Scale 3D Domain Adaption Network for Point Cloud Representation. [[code](https://github.com/canqin001/PointDAN)] [__`cls.`__ __`oth.`__]
    • [ICLR
    • [ICMLW
    • [AAAI - iisc/capnet)] [__`rec.`__]
    • [AAAI - based Sequence to Sequence Network. [[tensorflow](https://github.com/liuxinhai/Point2Sequence)] [__`cls.`__ __`seg.`__]
    • [AAAI
    • [AAAI - View Relation Neural Network for 3D Shape Recognition. [[pytorch](https://github.com/Hxyou/PVRNet)] [__`cls.`__ __`rel.`__]
    • [AAAI
    • [TOG
    • [TOG
    • [SIGGRAPH Asia
    • [arXiv
    • [arXiv - 3D Siamese Networks on LIDAR. [__`tra.`__]
    • [arXiv
    • [ICME
    • [ICASSP - Projection)] [__`oth.`__]
    • [BMVC - Shot Learning of 3D Objects. [__`cls.`__]
    • [ICRA - equ-net)] [__`cls.`__]
    • [ICRA - Object Segmentation from a LiDAR Point Cloud. [[tensorflow](https://github.com/xuanyuzhou98/SqueezeSegV2)] [__`seg.`__ __`aut.`__]
    • [ICRA
    • [ICRA
    • [ICRA - cloud-compression-by-RNN)] [__`oth.`__]
    • [ICRA - ram/FL3D)] [__`det.`__ __`aut.`__]
    • [ICRA
    • [ICRA - MatchNet: Learning to Match Keypoints across 2D Image and 3D Point Cloud. [__`oth.`__]
    • [arXiv - shot Learning of 3D Point Cloud Objects. [[code](https://github.com/alichr/Zero-shot-Learning-of-3D-Point-Cloud-Objects)] [__`cls.`__]
    • [ICRA - scale 5D Semantics Benchmark for Autonomous Driving. [[project](https://github.com/VCCIV/BLVD)] [__`dat.`__ __`det.`__ __`tra.`__ __`aut.`__ __`oth.`__]
    • [ICRA - overlap 3-D point cloud registration for outlier rejection. [[matlab](https://github.com/JStech/ICP)] [__`reg.`__]
    • [ICRA
    • [ICRA
    • [ICRA - Net: Multimodal VoxelNet for 3D Object Detection. [__`det.`__ __`aut.`__]
    • [ICRA - 3D: Estimating the Covariance of ICP in the Real World. [__`reg.`__]
    • [IROS - Aware PointNet for Object Recognition from Multi-View 2.5D Point Clouds. [[tensorflow](https://github.com/Merium88/Edge-Aware-PointNet)] [__`cls.`__ __`det.`__]
    • [IROS - Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles. [__`oth.`__] [__`aut.`__]
    • [IROS
    • [IV - to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving. [__`seg.`__] [__`aut.`__]
    • [Eurographics Workshop
    • [WACV
    • [3DV - vgd.github.io/riconv/)] [__`cls.`__ __`seg.`__]
    • [3DV - invariant Point CNN with Spherical Harmonics kernels. [[tensorflow](https://github.com/adrienPoulenard/SPHnet)] [__`cls.`__ __`seg.`__ __`oth.`__]
    • [TVCG - Selection of 3D Point Clouds. [[project](https://lassonet.github.io/)] [__`oth.`__]
    • [arXiv
    • [arXiv - Cloud Saliency Maps. [[tensorflow](https://github.com/tianzheng4/PointCloud-Saliency-Maps)] [__`cls.`__ __`oth.`__]
    • [arXiv - Liu-c0deb0t/3D-Neural-Network-Adversarial-Attacks)] [__`oth.`__]
    • [arxiv
    • [arXiv - Cloud to Image Translation using conditional Generative Adversarial Networks. [__`oth.`__]
    • [arXiv - Encoder and Sampler. [__`cls.`__ __`oth.`__]
    • [arXiv - aware Loss Function for Point Cloud Semantic Instance Segmentation. [__`seg.`__]
    • [arXiv - LiDAR Point Cloud. [__`det.`__ __`aut.`__]
    • [arXiv - time Multiple People Hand Localization in 4D Point Clouds. [__`det.`__ __`oth.`__]
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv - View Proposal Generation for Real-Time Object Detection from Point Clouds. [[code](https://github.com/LordLiang/FVNet)] [__`det.`__ __`aut.`__]
    • [arXiv
    • [arXiv - Supervised Learning of Local Features in 3D Point Clouds. [__`cls.`__ __`seg.`__]
    • [arXiv
    • [arXiv - YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds. [[pytorch](https://github.com/AI-liu/Complex-YOLO)] [__`det.`__ __`tra.`__ __`aut.`__] :fire:
    • [arXiv - based Inpainting for 3D Dynamic Point Clouds. [__`oth.`__]
    • [arXiv
    • [arXiv
    • [arXiv - AAE)] [__`rel.`__ __`oth.`__]
    • [arXiv
    • [arXiv
    • [arXiv - based Geometry Processing. [[pytorch](https://github.com/yifita/DSS)] [__`oth.`__]
    • [arXiv
    • [arXiv - Voxel CNN for Efficient 3D Deep Learning. [__`seg.`__ __`det.`__ __`aut.`__]
    • [arXiv - Based Graphics. [[project](https://dmitryulyanov.github.io/neural_point_based_graphics)] [__`oth.`__]
    • [arXiv
    • [arXiv
    • [arXiv - A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. [__`det.`__ __`aut.`__]
    • [arXiv
    • [arXiv
    • [arXiv - Decoder with Point Atrous Convolution for Unorganized 3D Points. [[tensorflow](https://github.com/paul007pl/PointAtrousGraph)] [__`cls.`__ __`seg.`__]
    • [arXiv
    • [arXiv - Rotation-Equivariant Quaternion Neural Networks. [__`cls.`__ __`rec.`__]
    • [arXiv - aware Capsules. [__`cls.`__ __`rel.`__ __`seg.`__]
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv - GCN: Point Cloud Upsampling via Graph Convolutional Network. [[project](https://sites.google.com/kaust.edu.sa/pugcn)] [__`oth.`__]
    • [arXiv
    • [arXiv - GCN for Fast and Scalable Point Cloud Learning. [__`seg.`__ __`cls.`__]
    • [arXiv
    • [arXiv - Shot Learning for 3D Point Cloud Classification. [__`cls.`__]
    • [arXiv - Net)] [__`cls.`__ __`seg.`__]
    • [arvix - Point-Cloud)] [__`cls.`__ __`det.`__ __`tra.`__ __`seg.`__]
    • [arXiv - GANs for High-Resolution 3D Point-cloud Generation. [__`rec.`__ __`oth.`__]
    • [arXiv
    • [arXiv - LiDAR Point Cloud Interpolation. [__`oth.`__]
    • [arXiv - -- A Study of Point Cloud-Based Deep Learning Models. [__`cls.`__ __`det.`__]
    • [ICCV - Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis. [__`oth.`__ __`aut.`__]
    • [MM - Invariant Representations for Point Cloud Classification and Segmentation. [[tensorflow](https://github.com/tasx0823/SRINet)] [__`cls.`__ __`seg.`__]
    • [NeurIPS - Voxel CNN for Efficient 3D Deep Learning. [__`det.`__ __`seg.`__ __`aut.`__]
    • [IROS - Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles. [__`oth.`__] [__`aut.`__]
    • [3DV - vgd.github.io/riconv/)] [__`cls.`__ __`seg.`__]
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv
    • [arXiv - Rotation-Equivariant Quaternion Neural Networks. [__`cls.`__ __`rec.`__]
    • [arXiv - GCN for Fast and Scalable Point Cloud Learning. [__`seg.`__ __`cls.`__]
    • [arXiv - Shot Learning for 3D Point Cloud Classification. [__`cls.`__]
    • [arXiv - Net)] [__`cls.`__ __`seg.`__]
    • [ICCV
    • [ICCV
    • [arXiv - BoNet)] [__`det.`__ __`seg.`__]
    • [ICRA
    • [ICCV - Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. [__`oth.`__]
    • [ICCV - Edge Interaction Network for Point Cloud Semantic Segmentation. [__`seg.`__]
    • [ICCV - to-Dense 3D Object Detector for Point Cloud. [__`det.`__ __`oth.`__]
    • [arXiv
    • [arXiv - aware Capsules. [__`cls.`__ __`rel.`__ __`seg.`__]
    • [arXiv - GCN: Point Cloud Upsampling via Graph Convolutional Network. [[project](https://sites.google.com/kaust.edu.sa/pugcn)] [__`oth.`__]
    • [MM - encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. [__`cls.`__ __`rel.`__]
    • [NeurIPS - Supervised Deep Learning on Point Clouds by Reconstructing Space. [__`cls.`__ __`oth.`__]

  • 2020

    • [AAAI - Point-Cloud-Completion)] [__`oth.`__]
    • [AAAI
    • [AAAI - Node for Point Cloud Feature Modeling. [__`seg.`__ __`cls.`__]
    • [AAAI - Invariant Network. [__`seg.`__ __`cls.`__]
    • [CVPR - Supervised Scene Flow Estimation. [[code](https://github.com/HimangiM/Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation)][__`aut.`__ __`oth.`__]
    • [CVPR
    • [CVPR - Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. [[tensorflow](https://github.com/QingyongHu/RandLA-Net)] [__`seg.`__]
    • [CVPR
    • [CVPR - Net: Point Fractal Network for 3D Point Cloud Completion. [[pytorch](https://github.com/zztianzz/PF-Net-Point-Fractal-Network.git)] [__`oth.`__]
    • [CVPR - Level Context VoteNet for 3D Object Detection. [[code](https://github.com/NUAAXQ/MLCVNet)] [__`det.`__]
    • [CVPR
    • [CVPR - Integer Programming for Non-Rigid Shape Alignment. [__`reg.`__ __`oth.`__]
    • [CVPR - metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences. [[code](https://github.com/XiaoshuiHuang/fmr)] [__`reg.`__]
    • [CVPR - Equivariant Learning. [[code](https://github.com/vcg-uvic/acne)] [__`cls.`__]
    • [CVPR - net)] [__`oth.`__]
    • [CVPR - Augmentation Framework for Point Cloud Classification. [__`cls.`__]
    • [WACV - Modal Data. [__`seg.`__ __`aut.`__]
    • [arXiv
    • [ECCV
    • [ECCV - training for 3D Point Cloud Understanding. [__`cls.`__ __`seg.`__ __`det.`__]
    • [ECCV
    • [ECCV
    • [IROS
    • [ICLR - Lagrangian Fluidic Reservoir for Point Cloud Processing. [[code](https://github.com/xingzhehe/AdvectiveNet-An-Eulerian-Lagrangian-Fluidic-Reservoir-for-Point-Cloud-Processing)][__`cls.`__ __`seg.`__]
    • [arXiv - Efficient Person Re-identification in the 3D Space. [[code]](https://github.com/layumi/person-reid-3d)[__`rel.`__] :fire:
    • [AAAI
    • [CVPR - Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. [[tensorflow](https://github.com/QingyongHu/RandLA-Net)] [__`seg.`__]
    • [CVPR - Net: Point Fractal Network for 3D Point Cloud Completion. [[pytorch](https://github.com/zztianzz/PF-Net-Point-Fractal-Network.git)] [__`oth.`__]
    • [CVPR - net)] [__`oth.`__]
    • [CVPR - Augmentation Framework for Point Cloud Classification. [__`cls.`__]
    • [WACV - Modal Data. [__`seg.`__ __`aut.`__]
    • [ECCV
    • [ECCV - training for 3D Point Cloud Understanding. [__`cls.`__ __`seg.`__ __`det.`__]
    • [ICLR - Lagrangian Fluidic Reservoir for Point Cloud Processing. [[code](https://github.com/xingzhehe/AdvectiveNet-An-Eulerian-Lagrangian-Fluidic-Reservoir-for-Point-Cloud-Processing)][__`cls.`__ __`seg.`__]
    • [CVPR - Equivariant Learning. [[code](https://github.com/vcg-uvic/acne)] [__`cls.`__]
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